Descrição do Emprego - Riskified - Software Engineering Team Lead
Riskified is currently hiring a Software Engineering Team Lead to join their amazing team
Riskified empowers businesses to unleash e-commerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of e-commerce risk analysts, data scientists, and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.
They thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.
About the role: Join Riskified's Analysis Platform group as a Team Lead. You'll lead a team responsible for building the systems that power Riskified's merchant order analysis - combining large-scale, real-time backend infrastructure with advanced browser and device fingerprinting to authenticate genuine users and stop fraud during online transactions. The team owns its work end-to-end: from feature planning with Product and Design, through technology selection, architecture, coding, code review, and CI/CD deployment, all the way to post-deployment monitoring. As Team Lead, you'll set the technical direction, grow the team, and stay close enough to the code to lead from the front.
You'll be managing two complementary disciplines: backend engineers building highly scalable architectures for their machine learning systems and platforms (Scala, Spark, Kafka, Kubernetes), and security software engineers developing JavaScript and mobile techniques for fingerprinting, bot detection, and spoofing prevention. Your role is to bring these together into a cohesive, high-performing team.
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